Application of Deep Reinforcement Learning to Temperature Control of a Chamber for Ultra-precision Machines
Deep reinforcement learning (RL) has attracted research interest in the manufacturing area in recent years, but real implemented applications are rarely found. This is because agents have to explore the given environments many times until they learn how to maximize the rewards for actions, which the...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Korean Society for Precision Engineering
2023-06-01
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| Schriftenreihe: | 한국정밀공학회지 |
| Schlagworte: | |
| Online-Zugang: | http://www.jkspe.or.kr/upload/pdf/NODE11420845.pdf |
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